Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemma 3n E2B Instructed

Google

Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Google

Gemma 3n E4B

Google

Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Google

Gemma 3n E2B Instructed

Google

2025-06-26

Google

Gemma 3n E4B

Google

2025-06-26

0 days newer

Performance comparison across key benchmark categories

Google

Gemma 3n E2B Instructed

general
32.8%
Google

Gemma 3n E4B

general
+26.9%
59.6%
Knowledge Cutoff
Training data recency comparison

Gemma 3n E2B Instructed

2024-06-01

Gemma 3n E4B

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3n E2B Instructed

0 providers
Google

Gemma 3n E4B

0 providers
Google

Gemma 3n E2B Instructed

Avg Score:0.0%
Providers:0
Google

Gemma 3n E4B

Avg Score:0.0%
Providers:0